Optimal action decision of secondary users in light-handed cognitive radio networks - 文章详情页

作者：

Chen, Gang (Chen, Gang.) | Si, Pengbo (Si, Pengbo.) | Sun, Yanhua (Sun, Yanhua.) | Zhang, Yanhua (Zhang, Yanhua.) (学者：张延华)

收录：

EI Scopus

摘要：

In　traditional　cognitive　radio　(CR)　network,　secondary　users　(SUs)　are　always　assumed　to　obey　the　rule　of　＇introducing　no　interference　to　the　primary　users　(PUs)＇.　However,　this　assumption　may　be　not　realistic　as　the　CR　devices　becoming　more　and　more　intelligent　nowadays.　Light-handed　CR　is　proposed　to　deal　with　this　problem　by　introducing　＇punishment＇　to　illegal　CR　transmissions.　In　this　network　framework,　the　action　decisions　of　SUs　are　modeled　as　a　partially　observable　Markov　decision　process　(POMDP),　and　are　optimized　with　the　objective　of　maximizing　their　reward.　Furthermore,　extensive　simulation　results　show　that　the　proposed　scheme　improves　the　SUs＇　reward　significantly　compared　to　the　existing　scheme.　©2010　IEEE.

关键词：

Intelligent computing Markov processes Intelligent systems Cognitive radio

作者机构：

[ 1 ] [Chen, Gang]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Si, Pengbo]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Sun, Yanhua]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Zhang, Yanhua]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

通讯作者信息：

电子邮件地址：

gangchen@emails.bjut.edu.cn

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